The field of science mapping has shown the power of citation-based clusters for literature
analysis, yet this technique has barely been used for information retrieval tasks. This work …

Classification schemes for scientific activity and publications underpin a large swath of
research evaluation practices at the organizational, governmental, and national levels …

This literature review identifies indicators that associate with higher impact or higher quality
research from article text (eg, titles, abstracts, lengths, cited references and readability) or …

There are many different relatedness measures, based for instance on citation relations or
textual similarity, that can be used to cluster scientific publications. We propose a principled …

Citations are used for research evaluation, and it is therefore important to know which factors
influence or associate with citation impact of articles. Several citation factors have been …

Portfolio analysis is a fundamental practice of organizational leadership and is a necessary
precursor of strategic planning. Successful application requires a highly detailed model of …

The effects of enhancing direct citations, with respect to publication–publication relatedness
measurement, by indirect citation relations (bibliographic coupling, cocitation, and extended …

We compare two supervised machine learning algorithms—Multinomial Naïve Bayes and
Gradient Boosting—to classify social science articles using textual data. The high level of …

Often, bibliometric mapping studies remain at a very abstract level when assessing the
validity or accuracy of the generated maps. In this case study of citation-based mappings of …

Clustering and community detection in networks are of broad interest and have been the
subject of extensive research that spans several fields. We are interested in the relatively …